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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Bayesian Inference
4,821 papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes
UAI 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise
CVPR 2021
Tractable structured natural-gradient descent using local parameterizations
ICML 2021
GTM: A Generative Triple-wise Model for Conversational Question Generation
ACL 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
NIPS 2021
Asymptotics of representation learning in finite Bayesian neural networks
NIPS 2021
Geometric convergence of elliptical slice sampling
ICML 2021
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
NIPS 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
EACL 2021
Bayesian Optimization over Hybrid Spaces
ICML 2021
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
AAAI 2021
Efficient online inference for nonparametric mixture models
UAI 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
ICML 2021
Semantic Linking Maps for Active Visual Object Search (Extended Abstract)
IJCAI 2021
Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model
AISTATS 2021
Variational Bayesian Reinforcement Learning with Regret Bounds
NIPS 2021
Masksembles for Uncertainty Estimation
CVPR 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
NIPS 2021
Langevin Monte Carlo: random coordinate descent and variance reduction
JMLR 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior
CVPR 2021
Same Same but DifferNet: Semi-Supervised Defect Detection With Normalizing Flows
WACV 2021
Improving predictions of Bayesian neural nets via local linearization
AISTATS 2021
Learning to Select Exogenous Events for Marked Temporal Point Process
NIPS 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
NIPS 2021
Variational Information Bottleneck for Effective Low-Resource Audio Classification
INTERSPEECH 2021
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